Holography in artificial neural networks.
The dense interconnections that characterize neural networks are most readily implemented using optical signal processing. Optoelectronic 'neurons' fabricated from semiconducting materials can be connected by holographic images recorded in photorefractive crystals. Processes such as learning can be demonstrated using holographic optical neural networks.
Psaltis
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Department of Electrical Engineering, California Institute of Technology, Pasadena 91125.
Brady
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Gu
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Lin
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D000465:Algorithms; D001921:Brain / Q000502:physiology; D003198:Computer Simulation; D003201:Computers; D006696:Holography; D007858:Learning / Q000502:physiology; D008433:Mathematics; D009434:Neural Pathways / Q000502:physiology* / Q000648:ultrastructure; D009474:Neurons / Q000502:physiology* / Q000648:ultrastructure; D012666:Semiconductors; D013569:Synapses / Q000502:physiology